Description

You will design, build, and maintain scalable data pipelines and transformation workflows.

This role is on-site.

Responsibilities

• Build and manage data transformation workflows using DBT, including models, macros, testing, and documentation.
• Develop efficient data ingestion and processing pipelines using Python.
• Optimize Snowflake data models, queries, and performance for large-scale datasets.
• Ensure data quality and consistency through testing and validation frameworks.
• Monitor and troubleshoot pipeline issues and performance bottlenecks.

Required Skills

• 7+ years of hands-on experience in Data Engineering.
• Strong expertise in DBT (Data Build Tool).
• Solid experience with Snowflake, including performance tuning and optimization.
• Strong expertise in Python for data processing and pipeline development.
• Proficient in SQL and data modeling concepts (star schema, dimensional modeling).
• Experience with data pipeline orchestration tools such as Airflow.
• Familiarity with data quality and testing frameworks.

Preferred Skills

• Experience working in cloud environments (AWS, Azure, or GCP).
• Familiarity with CI/CD practices for data pipelines.

Key Skills

Education

Bachelor's degree